FDTD Solutions

3D/2D Maxwell's Solver for Nanophotonic Devices

FDTD Solutions is the gold-standard for modeling nanophotonic devices, processes, and materials. This finely-tuned implementation of the FDTD method delivers reliable, powerful, and scalable solver performance over a broad spectrum of applications. The integrated design environment provides scripting capability, advanced post-processing, and optimization routines – allowing you to focus on your design and leave the rest to us.

Key FDTD Solutions applications include:

  • CMOS Image sensors
  • OLEDs and Liquid Crystals
  • Surface Metrology
  • Surface Plasmonics
  • Graphene
  • Solar Cells
  • Integrated Photonic Components
  • Metamaterials
  • Diffractive Optics and Photonic Crystals

3D CAD Environment

3D CAD Environment and parameterizable simulation objects allow for rapid model iterations.

  • Build 1D, 2D, or 3D models
  • Define custom surfaces and volumes
  • Import geometry from standard CAD and IC layout formats

Multi-coefficient Models

Uses multi-coefficient models for accurate material modeling over large wavelength ranges.

  • Accurately represent real materials over broad wavelength ranges
  • Automatically generate models from sample data, or define the functions yourself.
  • Advanced conformal mesh is compatible with dispersive and high-index contrast materials, with high accuracy for coarse mesh

Nonlinearity and Anisotropy

Simulate devices fabricated with nonlinear materials or materials with spatially varying anisotropy.

  • Choose from a wide range of nonlinear, negative index, and gain models
  • Define new material models with flexible material plug-ins

Powerful Post-Processing

Powerful post-processing capability, including far-field projection, band structure analysis, bidirectional scattering distribution function (BSDF) generation, Q-factor analysis, and charge generation rate.

Interoperability

FDTD Solutions is interoperable with all Lumerical tools through the Lumerical scripting language, Automation API, and Python and MATLAB APIs.

  • Build, run, and control simulations across multiple tools.
  • Use a single file to run optical, thermal, and electrical simulations before post-processing the data in MATLAB.

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